Event-triggered fault detection for T-S fuzzy systems with local nonlinear models in finite-frequency domain

References

• Boulkroune, B., Halabi, S., & Zemouche, A. (2013). H−/H∞ fault detection filter for a class of nonlinear descriptor systems. International Journal of Control, 86(2), 253–262. https://doi.org/10.1080/00207179.2012.723826
   Web of Science ®Google Scholar
• Cassandras, C. G. (2014). The event-driven paradigm for control, communication and optimization. Journal of Control and Decision, 1(1), 3–17. https://doi.org/10.1080/23307706.2014.885288
   Google Scholar
• Cheng, P., He, S. P., Stojanovic, V., Luan, X. L., & Liu, F. (2021). Fuzzy fault detection for markov jump systems with partly accessible hidden information: an event-triggered approach. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2021.3050209
   Web of Science ®Google Scholar
• Ding, S. X. (2013). Model-based fault diagnosis techniques: Design schemes, algorithms and tools (2nd ed.). Springer.
   Google Scholar
• Dong, J. X., Wang, Y. Y., & Yang, G. H. (2009). Control synthesis of continuous-time T-S fuzzy systems with local nonlinear models. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 39(5), 1245–1258. https://doi.org/10.1109/TSMCB.2009.2014961
   PubMed Web of Science ®Google Scholar
• Dong, J. X., Wang, Y. Y., & Yang, G. H. (2010). Output feedback fuzzy controller design with local nonlinear feedback laws for discrete-time nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 40(6), 1447–1459. https://doi.org/10.1109/TSMCB.2009.2039642
   PubMed Web of Science ®Google Scholar
• Dong, J. X., Wang, Y. Y., & Yang, G. H. (2011). H∞ and mixed H2/H∞ control of discrete-time T-S fuzzy systems with local nonlinear models. Fuzzy Sets and Systems, 164(1), 1–24. https://doi.org/10.1016/j.fss.2010.09.014
   Web of Science ®Google Scholar
• Frank, M. P., & Ding, X. (1997). Survey of robust residual generation and evaluation methods in observer-based fault detection systems. Journal of Process Control, 7(6), 403–424. https://doi.org/10.1016/S0959-1524(97)00016-4
   Web of Science ®Google Scholar
• Han, J., Zhang, H. G., Wang, Y. C., & Liu, X. H. (2016). Robust fault estimation and accommodation for a class of T-S fuzzy systems with local nonlinear model. Circuits, Systems, and Signal Processing, 35(10), 3506–3530. https://doi.org/10.1007/s00034-015-0219-x
   Web of Science ®Google Scholar
• He, S. P. (2018). Fault detection filter design for a class of nonlinear Markovian jumping systems with mode-dependent time-varying delays. Nonlinear Dynamics, 91(3), 1871–1884. https://doi.org/10.1007/s11071-017-3987-y
   Web of Science ®Google Scholar
• Iwasaki, T., Hara, S., & Fradkov, A. L. (2005). Time domain interpretations of frequency domain inequalities on (semi) finite ranges. Systems & Control Letters, 54(7), 681–691. https://doi.org/10.1016/j.sysconle.2004.11.007
   Web of Science ®Google Scholar
• Khosrowjerdi, M. J., Nikoukhah, R., & Safri-shad, N. (2005). Fault detection in a mixed H2/H∞ setting. IEEE Transactions on Automatic Control, 50(7), 1063–1068. https://doi.org/10.1109/TAC.2005.851464
   Web of Science ®Google Scholar
• Kuschewski, J. G., Hui, S., & Zak, S. H. (1993). Application of feedforward neural networks to dynamical system identification and control. IEEE Transactions on Control Systems Technology, 1(1), 37–49. https://doi.org/10.1109/87.221350
   Google Scholar
• Li, H. Y., Chen, Z. R., Wu, L. G., Lam, H. K., & Du, H. P. (2017). Event-triggered fault detection of nonlinear networked systems. IEEE Transactions on Cybernetics, 47(4), 1041–1052. https://doi.org/10.1109/TCYB.2016.2536750
   PubMed Web of Science ®Google Scholar
• Li, L., Chadli, M., Ding, S. X., Qiu, J., & Yang, Y. (2018). Diagnostic observer design for T-S fuzzy systems: Application to real-time-weighted fault-detection approach. IEEE Transactions on Fuzzy Systems, 26(2), 805–816. https://doi.org/10.1109/TFUZZ.91
   Web of Science ®Google Scholar
• Li, R. C., & Yang, Y. (2020). Fault detection for T-S fuzzy singular systems via integral sliding modes. Journal of the Franklin Institute, 357(17), 13125–13143. https://doi.org/10.1016/j.jfranklin.2020.09.014
   Web of Science ®Google Scholar
• Li, X. J., & Yang, G. H. (2014). Fault detection in finite frequency domain for Takagi-Sugeno fuzzy systems with sensor faults. IEEE Transactions on Cybernetics, 44(8), 1446–1458. https://doi.org/10.1109/TCYB.2013.2286209
   PubMed Web of Science ®Google Scholar
• Liu, G. J., Cao, Y. Y., & Chang, X. H. (2017). Fault detection observer design for fuzzy systems with local nonlinear models via fuzzy Lyapunov function. International Journal of Control, Automation and Systems, 15(5), 2233–2242. https://doi.org/10.1007/s12555-016-0496-6
   Web of Science ®Google Scholar
• Liu, X. X., Su, X. J., Shi, P., Nguang, S. K., & Shen, C. (2019). Fault detection filtering for nonlinear switched systems via event-triggered communication approach. Automatica, 101(8), 365–376. https://doi.org/10.1016/j.automatica.2018.12.006
   Google Scholar
• Moodi, H., & Farrokhi, M. (2015). Robust observer-based controller design for Takagi-Sugeno systems with nonlinear consequent parts. Fuzzy Sets and Systems, 273, 141–154. https://doi.org/10.1016/j.fss.2015.01.007
   Web of Science ®Google Scholar
• Pan, Y. N., & Yang, G. H. (2018). Event-triggered fault detection filter design for nonlinear networked systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(11), 1851–1862. https://doi.org/10.1109/TSMC.2017.2719629
   Web of Science ®Google Scholar
• Song, J., Niu, Y., & Lam, H.-K. (2018). Fuzzy remote tracking control for randomly varying local nonlinear models under fading and missing measurements. IEEE Transactions on Fuzzy Systems, 26(3), 1125–1137. https://doi.org/10.1109/TFUZZ.2017.2705624
   Web of Science ®Google Scholar
• Wang, H. M., Ye, D., & Yang, G. H. (2014). Actuator fault diagnosis for uncertain T-S fuzzy systems with local nonlinear models. Nonlinear Dynamics, 76(4), 1977–1988. https://doi.org/10.1007/s11071-014-1262-z
   Web of Science ®Google Scholar
• Wang, X. L., & Yang, G. H. (2019). Fault detection for T-S fuzzy systems with past output measurements. Fuzzy Sets and Systems, 365, 98–115. https://doi.org/10.1016/j.fss.2018.05.003
   Web of Science ®Google Scholar
• Wang, Z. H., Shi, P., & Lim, C. C. (2017). H−/H∞ fault detection observer in finite frequency domain for linear parameter-varying descriptor system. Automatica, 86(2), 38–45. https://doi.org/10.1016/j.automatica.2017.08.021
   Google Scholar
• Wu, Y., & Dong, J. (2018). Fault detection for T-S fuzzy systems with partly unmeasurable premise variables. Fuzzy Sets and Systems, 338(3), 136–156. https://doi.org/10.1016/j.fss.2017.06.006
   Google Scholar
• Yang, G. H., & Wang, H. M. (2015). Fault detection and isolation for a class of uncertain state-feedback fuzzy control systems. IEEE Transactions on Fuzzy Systems, 23(1), 139–151. https://doi.org/10.1109/TFUZZ.2014.2308920
   Web of Science ®Google Scholar
• Yue, D., Tian, E., & Han, Q. L. (2013). A delay system method for designing event-triggered controllers of networked control systems. IEEE Transactions on Automatic Control, 58(2), 475–481. https://doi.org/10.1109/TAC.2012.2206694
   Web of Science ®Google Scholar
• Zhu, X. D., Xia, Y. Q., Chai, S. C., & Shi, P. (2019). Fault detection for vehicle active suspension systems in finite-frequency domain. IET Control Theory and Applications, 13(3), 387–394. https://doi.org/10.1049/cth2.v13.3
   Web of Science ®Google Scholar